Skip to content
BranchesTags

Repository files navigation

FlipKart Scrape (HAM)

TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!

We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.

INSTRUCTIONS

1. Install python 3

2. Install the required packages from requirements.txt file

3. Create a file in your system whose content will hold the link of the product(homepage)

PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file

3. Open the folder "FlipKartScrape" in your favourite editor

4. Run the main.py file. A GUI will pop up

5. Click on the BROWSE button and select the file in which the links are stored

6. Click on the SCRAPE button and relax

POINTS TO NOTE:

-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.

-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.

-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")

About

Make better shopping(online) decisions in Flipkart with my bot(HAM)

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - Rathish-Rajendran/FlipKartScrape: Make better shopping(online) decisions in Flipkart with my bot(HAM) · GitHub
Skip to content
BranchesTags
Repository files navigation
FlipKart Scrape (HAM)
TIME is yout greatest ASSET. Let my bot(HAM) save some of it for you MY FRIEND!
We all cannot refuse the fact that while looking for products online, we often end up in a tough spot wherein we have to decide which one among those products(elite) will be the best choice. We then have a hectic time going through some of the reviews for each of those products and then conclude. This often takes plenty of time. What if we have a bot(HAM) that goes through all of the reviews of the product of your choice and gives you a count of the number of positive and negative reviews, and also provides a recommendation value(-1 to 1) for each product. Yes, you have sensed it. This is exactly what my bot(HAM) does for you.
INSTRUCTIONS
1. Install python 3
2. Install the required packages from requirements.txt file
3. Create a file in your system whose content will hold the link of the product(homepage)
PS : Make sure to add the link of the new product in a new line in the file i.e, each and every link should be placed in a new line in the file
3. Open the folder "FlipKartScrape" in your favourite editor
4. Run the main.py file. A GUI will pop up
5. Click on the BROWSE button and select the file in which the links are stored
6. Click on the SCRAPE button and relax
POINTS TO NOTE:
-> When you start scraping there will be two directories created, namely "Files"(which is not necessary as a user) and "CSV Files"(the result will be here), in your current working directory.
-> "CSV Files" file will contain two CSV files. One of them will contain the result(sorted) and the other will not.
-> When you start scraping again, make sure to run the main.py file again and delete the contents of the two directories("Files" and "CSV Files")
About
Make better shopping(online) decisions in Flipkart with my bot(HAM)
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages